Address second iteration of comments.

gcp_variant_transforms/options/variant_transform_options.py

@@ -195,7 +195,8 @@ def add_arguments(self, parser):
     parser.add_argument(
         '--num_bigquery_write_shards',
         type=int, default=1,
-        help=('This flag is deprecated and may be removed in future releases.'))
+        help=('This flag is deprecated and will be removed in future '
+              'releases.'))
     parser.add_argument(
         '--null_numeric_value_replacement',
         type=int,

gcp_variant_transforms/pipeline_common.py

@@ -71,7 +71,7 @@ def parse_args(argv, command_line_options):
   known_args, pipeline_args = parser.parse_known_args(argv)
   for transform_options in options:
     transform_options.validate(known_args)
-  _raise_error_on_invalid_flags(pipeline_args)
+  _raise_error_on_invalid_flags(known_args, pipeline_args)
   if hasattr(known_args, 'input_pattern') or hasattr(known_args, 'input_file'):
     known_args.all_patterns = _get_all_patterns(
         known_args.input_pattern, known_args.input_file)
@@ -301,8 +301,8 @@ def write_headers(merged_header, file_path):
        vcf_header_io.WriteVcfHeaders(file_path))
 
 
-def _raise_error_on_invalid_flags(pipeline_args):
-  # type: (List[str]) -> None
+def _raise_error_on_invalid_flags(known_args, pipeline_args):
+  # type: (argparse.Namespace, List[str]) -> None
   """Raises an error if there are unrecognized flags."""
   parser = argparse.ArgumentParser()
   for cls in pipeline_options.PipelineOptions.__subclasses__():
@@ -315,6 +315,13 @@ def _raise_error_on_invalid_flags(pipeline_args):
       not known_pipeline_args.setup_file):
     raise ValueError('The --setup_file flag is required for DataflowRunner. '
                      'Please provide a path to the setup.py file.')
+  if known_args.output_table:
+    if not hasattr(known_pipeline_args, 'temp_location'):
+      raise ValueError('--temp_location is required for BigQuery imports.')
+    if not known_pipeline_args.temp_location.startswith('gs://'):
+      raise ValueError(
+          '--temp_location must be valid GCS location for BigQuery imports')
+
 
 
 def is_pipeline_direct_runner(pipeline):

gcp_variant_transforms/transforms/sample_info_to_bigquery.py

@@ -50,7 +50,7 @@ def process(self, vcf_header):
 class SampleInfoToBigQuery(beam.PTransform):
   """Writes sample info to BigQuery."""
 
-  def __init__(self, output_table_prefix, temp_location, append=False,
+  def __init__(self, output_table_prefix, append=False,
                samples_span_multiple_files=False):
     # type: (str, Dict[str, str], bool, bool) -> None
     """Initializes the transform.
@@ -67,7 +67,6 @@ def __init__(self, output_table_prefix, temp_location, append=False,
     self._append = append
     self._samples_span_multiple_files = samples_span_multiple_files
     self._schema = sample_info_table_schema_generator.generate_schema()
-    self._temp_location = temp_location
 
   def expand(self, pcoll):
     return (pcoll
@@ -82,5 +81,4 @@ def expand(self, pcoll):
                     beam.io.BigQueryDisposition.WRITE_APPEND
                     if self._append
                     else beam.io.BigQueryDisposition.WRITE_TRUNCATE),
-                method=beam.io.WriteToBigQuery.Method.FILE_LOADS,
-                custom_gcs_temp_location=self._temp_location))
+                method=beam.io.WriteToBigQuery.Method.FILE_LOADS))

gcp_variant_transforms/transforms/sample_info_to_bigquery_test.py

@@ -52,8 +52,8 @@ def test_convert_sample_info_to_row(self):
         pipeline
         | transforms.Create([vcf_header_1, vcf_header_2])
         | 'ConvertToRow'
-        >> transforms.ParDo(sample_info_to_bigquery.ConvertSampleInfoToRow(
-            ), False))
+        >> transforms.ParDo(sample_info_to_bigquery.ConvertSampleInfoToRow(False
+            ), ))
 
     assert_that(bigquery_rows, equal_to(expected_rows))
     pipeline.run()
@@ -82,8 +82,8 @@ def test_convert_sample_info_to_row_without_file_in_hash(self):
         pipeline
         | transforms.Create([vcf_header_1, vcf_header_2])
         | 'ConvertToRow'
-        >> transforms.ParDo(sample_info_to_bigquery.ConvertSampleInfoToRow(
-            ), True))
+        >> transforms.ParDo(sample_info_to_bigquery.ConvertSampleInfoToRow(True
+            ), ))
 
     assert_that(bigquery_rows, equal_to(expected_rows))
     pipeline.run()

gcp_variant_transforms/transforms/variant_to_bigquery.py

@@ -59,7 +59,6 @@ def __init__(
       self,
       output_table,  # type: str
       header_fields,  # type: vcf_header_io.VcfHeader
-      temp_location,  # type: str
       variant_merger=None,  # type: variant_merge_strategy.VariantMergeStrategy
       proc_var_factory=None,  # type: processed_variant.ProcessedVariantFactory
       # TODO(bashir2): proc_var_factory is a required argument and if `None` is
@@ -99,7 +98,6 @@ def __init__(
     """
     self._output_table = output_table
     self._header_fields = header_fields
-    self._temp_location = temp_location
     self._variant_merger = variant_merger
     self._proc_var_factory = proc_var_factory
     self._append = append
@@ -137,5 +135,4 @@ def expand(self, pcoll):
                     beam.io.BigQueryDisposition.WRITE_APPEND
                     if self._append
                     else beam.io.BigQueryDisposition.WRITE_TRUNCATE),
-                method=beam.io.WriteToBigQuery.Method.FILE_LOADS,
-                custom_gcs_temp_location=self._temp_location))
+                method=beam.io.WriteToBigQuery.Method.FILE_LOADS))

gcp_variant_transforms/vcf_to_bq.py

@@ -384,7 +384,6 @@ def _run_annotation_pipeline(known_args, pipeline_args):
 def _create_sample_info_table(pipeline,  # type: beam.Pipeline
                               pipeline_mode,  # type: PipelineModes
                               known_args,  # type: argparse.Namespace,
-                              temp_directory, # str
                              ):
   # type: (...) -> None
   headers = pipeline_common.read_headers(
@@ -395,7 +394,6 @@ def _create_sample_info_table(pipeline,  # type: beam.Pipeline
   _ = (headers | 'SampleInfoToBigQuery' >>
        sample_info_to_bigquery.SampleInfoToBigQuery(
            known_args.output_table,
-           temp_directory,
            known_args.append,
            known_args.samples_span_multiple_files))
 
@@ -406,8 +404,6 @@ def run(argv=None):
   logging.info('Command: %s', ' '.join(argv or sys.argv))
   known_args, pipeline_args = pipeline_common.parse_args(argv,
                                                          _COMMAND_LINE_OPTIONS)
-  if known_args.output_table and '--temp_location' not in pipeline_args:
-    raise ValueError('--temp_location is required for BigQuery imports.')
   if known_args.auto_flags_experiment:
     _get_input_dimensions(known_args, pipeline_args)
 
@@ -483,10 +479,6 @@ def run(argv=None):
     num_partitions = 1
 
   if known_args.output_table:
-    temp_directory = pipeline_options.PipelineOptions(pipeline_args).view_as(
-        pipeline_options.GoogleCloudOptions).temp_location
-    if not temp_directory:
-      raise ValueError('--temp_location must be set when writing to BigQuery.')
     for i in range(num_partitions):
       table_suffix = ''
       if partitioner and partitioner.get_partition_name(i):
@@ -496,7 +488,6 @@ def run(argv=None):
            variant_to_bigquery.VariantToBigQuery(
                table_name,
                header_fields,
-               temp_directory,
                variant_merger,
                processed_variant_factory,
                append=known_args.append,